Chinese Agricultural Products Research Articles

Fulvic acid alleviates cadmium-induced root growth inhibition by regulating antioxidant enzyme activity and carbon-nitrogen metabolism in apple seedlings.

Substantial previous studies have reported that fulvic acid (FA) application plays an important role in Chinese agricultural production. However, little is known about the mechanisms for using FA to increase apple trees resistance to Cd toxicity. In order to clarify the mechanism underlying FA alleviation in Cd-induced growth inhibition in apple seedlings. Herein, we treated M9T337 seedlings to either 0 or 30 µM/L Cd together with 0 or 0.2 g/L FA and analyzed the root growth, antioxidant enzyme activities, carbon (C) assimilation, nitrogen (N) metabolism, and C and N transport. The results presented that, compared with CK (without Cd addition or FA spraying application), Cd poisoning significantly inhibited the root growth of apple seedlings. However, this Cd-induced root growth inhibition was significantly alleviated by FA spraying relative to the Cd treatment (Cd addition alone). On the one hand, the mitigation of inhibition effects was due to the reduced oxidative damage by enhancing antioxdiant enzyme (SOD, POD, and CAT) activities in leaves and roots. On the other hand, this growth advantage demonstrated compared to the Cd treatment was found to be associated with the strengthen of photosynthetic performance and the elevation of C and N metabolism enzymes activities. Meanwhile, we also found that under Cd stress condition, the distribution of C and N nutrients in apple seedlings was optimised by FA spraying application relative to the Cd treatment, according to the results of 13C and 15N tracing. Conclusively, our results suggested that the inhibitory effect of Cd on apple seedlings root growth was alleviated by FA through regulating antioxdiant capacities and C and N metabolism.

Modernizing smallholder agriculture and achieving food security: An exploration in machinery services and labor reallocation in China

AbstractThis study discusses the modernization of smallholder agriculture in China, where most farms are small, and farms' parcels are fragmented. The study puts forward a framework of agricultural modernization by vertical division of labor and specialized production in agriculture. We posit that hiring machinery services could be a pathway to connect smallholders with modern agriculture and achieve food security in China. Using household‐level data from China, this study examines how hiring machinery services affects farm productivity and rural households' welfare. Findings show that mechanization services increased rural Chinese families' food security and agricultural productivity. Hiring machinery services improves smallholders' income by influencing the input efficiency of maize production and increasing participation in off‐farm work. Our findings highlight the importance of technology to improve smallholder agriculture and food security, not only in China but also in other South and Southeast Asian countries.

High-Frequency Volatility Modeling of Chinese Agricultural Products Market Based on Garch-Type Models

The modeling of high-frequency volatility is of utmost importance in comprehending market dynamics and the characteristics of risk. The adoption of high-frequency volatility modeling in the agricultural sector has the potential to enhance risk management for food production enterprises through the utilization of hedging strategies to mitigate the impact of food price changes. The GARCH (Generalized Autoregressive Conditional Heteroskedasticity) class of models is well-suited for the analysis and prediction of volatility in financial time series. These models effectively capture the highest level of volatility observed in the time series data. Therefore, this research utilizes one-minute trade data of the Wind Agriculture Index (886045.WI) to examine the efficacy and predictability of several GARCH class volatility models. When it comes to fitting the data within the sample, the TGARCH model demonstrates superior performance compared to both the GARCH and EGARCH models. The fluctuations in the price changes of the Wind Agriculture Index exhibit characteristics of time variability and clustering, which can be attributed to the relatively low barriers for entry and exit in the agricultural planting sector. Simultaneously, within the agricultural market, an imbalance is observed whereby the influence of positive information on price volatility surpasses that of negative information.

ОСОБЛИВОСТІ ІНФОРМАЦІЙНО-КОМУНІКАЦІЙНИХ ТЕХНОЛОГІЙ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ КИТАЮ

The article analyses the peculiarities of information and communication technologies of agricultural enterprises in China. The relevance of the work is due to the increasing digitalisation of agriculture at the global level, as well as the digitalisation of the Chinese economy. In addition, the role of modern technologies is becoming the key to the development of agriculture in general. The study is based on the works of Ukrainian and Chinese scholars on the selected topic. The purpose of the study is to analyse the current features of the use of information and communication technologies in the agricultural sector on the example of Chinese agricultural enterprises. The article analyses the main features of the use of information and communication technologies in agriculture. The peculiarities of digital and electronic agriculture are identified. The features of the introduction of information and communication technologies in agriculture in China are determined. The historical patterns of the use of modern technologies in agriculture of the country are determined. The main directions and manifestations of the use of information and communication technologies by agricultural enterprises in China are considered. Special attention is paid to the importance of social networks for Chinese agricultural enterprises. The main advantages of the use of information and communication technologies by Chinese agricultural enterprises are also identified, and the role of ICT in ensuring food security is considered. The article highlights the shortcomings and problems of using modern technologies in Chinese agriculture, among which are insufficient Internet coverage and insufficient information education of employees. The results of the study demonstrate the importance of information and communication technologies for Chinese agricultural enterprises and prove their positive impact on the development of agriculture in the country as a whole. The results obtained can be used to further improve information and communication technologies in Chinese agricultural production and to improve the digitalisation of agriculture in the country.

A Study on the Export of Chinese Agricultural Products to South Korea

A Study on the Export of Chinese Agricultural Products to South Korea

Challenges or drivers? Threshold effects of environmental regulation on China’s agricultural green productivity

This study investigates the effect of environmental regulation (ER) on the growth of Chinese agricultural Green Total Factor Productivity (GTFP). Threshold model results suggest an inverted-U shaped interconnection between command-control ER and growth of agricultural GTFP, a decreasing positive marginal effect of voluntary ER, and an absence of influence of incentive-based ER. Regional heterogeneity test indicates that command-control ER affects agricultural GTFP growth in a far more favorable way in less developed provinces than in more developed provinces, and only the former can benefit from the synergistic effect between command-control and voluntary ER. Mediating effect test results reveal that agricultural green innovation and grain crop proportion are channels through which ER affect agricultural GTFP growth, highlighting the pressing need to stimulate green innovation and realize green transformation of grain production.

Development and Promotion Strategies of Chinese Agricultural Products in the Context of International Trade: Based on the Perspective of Intellectual Property Protection

In today's globalized economy, the means of economic competition between countries has shifted from relying primarily on tariffs and quotas to relying on talent, intellectual property rights and technical standards. The decisiveness and influence of international intellectual property rights on international trade is becoming increasingly obvious. As a big agricultural country, China possesses a large number of special agricultural products and is also a big exporter of agricultural products, so the protection of intellectual property rights of Chinese agricultural products is particularly important. Since the promulgation of the Agreement on Intellectual Property Rights (IPR), the United States will be linked to international trade and intellectual property protection and as a reason to continuously improve the international intellectual property protection standards. At present, China's agricultural products in international trade there are still many difficulties, from the perspective of intellectual property rights, mainly manifested in the lack of protection of agricultural patents, agricultural products, geographical indications. This paper will start from the beginning, with intellectual property protection as the entry point, analyse in the new situation of international trade in China's agricultural products development and promotion strategy.

Exploring the path of development of international trade of agricultural products in the context of digitalization

Abstract Agriculture is the foundation of the national economy, and Chinese agriculture in the digital background should realize the intelligent management of agricultural production To improve the efficiency of international trade of Chinese agricultural products and help Chinese agricultural products occupy a larger share in the international market, this paper takes the clustering algorithm and agricultural IoT technology as the research method applies the improved spectral clustering algorithm for processing agricultural data to extract research data and perform data correction, simulates and evaluates the performance of the algorithm through agricultural IoT data pooling and simulation analysis, and uses the chance routing performance index as the main judgment The variance results are derived from the criteria. The data show that the production of agriculture, forestry, animal husbandry, and fishery has developed qualitatively in the digital background, and the total output value reached 122,874.96 billion yuan in 2021, and the total grain production reached 73,000,000 tons in 2021, with obvious export advantages. The export value of agricultural products has grown from $48.98 billion in 2010 to $85.06 billion in 2021, and the export value of China’s agricultural products exceeded $70 billion in 2014, making China’s international trade in agricultural products fruitful. Based on this, this paper explores the multifaceted achievements and future development path of international trade in agricultural products in the context of digitalization, intending to contribute its share to China’s international trade in agricultural products.

Agricultural products price prediction based on improved RBF neural network model

ABSTRACT The agricultural products price has been affecting people’s livelihood issues and economic and social security and stability. The cyclical fluctuation of the price of agricultural products often indirectly affects the inner psychological demand of agricultural consumers. If the prices of production and processing industries, which rely on cheap raw materials as basic raw materials, are subject to frequent and abnormal fluctuations, it is likely to cause further widespread concerns about people’s lives, and ultimately lead to a vicious cycle of falling commodity prices. In recent years, as a result of lack of timely authoritative information all the time, the market price of agricultural products appeared a lot of varieties before short-term rise and fall repeatedly phenomenon. This paper attempts to take the quantity of garlic produced and sold by pork in China as the key object of analysis and research, and analyzes the level of market price index and the main factors influencing the price of pork sales and edible garlic demand in China in recent ten years. In information economics, financial market theory, statistical methods and other relevant mathematical model as the main guidance, combined with China’s agricultural prices during the period of policy, select the RBF neural network theory and the analysis methods for technical improvements, in a variety of market factors affecting economic operation under the mixed operation China period in our country agricultural prices technology wave prediction rule, broken Based on the traditional artificial statistics and forecasting model method of agricultural product price, the short-term forecasting model of Chinese agricultural product market price theory based on information technology innovation method was established.

The Application of Business English in Agricultural Products Trading Enterprises under the Background of Economic Globalization

As economic globalization continues to accelerate, international trade has become an important aspect of agricultural product trading enterprises. To be competitive in the global market, it is essential for these enterprises to possess proficient business English skills. This thesis examines the application of business English in agricultural products trading enterprises in the context of economic globalization. The literature review discusses the importance of business English in international trade, the challenges faced by agricultural products trading enterprises, and the strategies for developing effective business English skills. The empirical research involves a case study of a Chinese agricultural products trading enterprise, analyzing the application of business English in its international trade operations. The results suggest that effective communication in English is essential for success in international trade, and that agricultural products trading enterprises need to develop strong business English skills to remain competitive in the global market.

The Evolving Status of Agricultural Products in the Global Value Chain since China and Kyrgyzstan Established Diplomatic Relations

Central Asia borders China and was the first stop of China’s opening to the west. Studying the evolving status of agricultural products in the global value chain since China and Kyrgyzstan established diplomatic relations in 1992 can facilitate China’s “Belt and Road” initiative and strengthen agricultural cooperation. Based on FAOSTAT and UN Comtrade data, this paper classifies agricultural products into three categories: primary agricultural products, rough-processed agricultural products, and deep-processed industrial products. An indicator system was constructed for measuring the status of agricultural products in the global value chain. Using the results of the NET trade index, this paper analyzed the evolving status of Chinese and Kyrgyzstani agricultural products in the global value from 1995 to 2020. The results showed that the status of Chinese and Kyrgyzstani primary agricultural products has continued to decline, with Kyrgyzstan slightly better than China. The status of Chinese rough-processed agricultural products was slowly declining, while Kyrgyzstan’s status dropped sharply by 2020. China has a solid foundation in deep-processed agricultural products, while Kyrgyzstan’s status was relatively low. Suggestions for future cooperation between China and Kyrgyzstan are discussed, such as strengthening agricultural technology exchanges and cooperation, expanding trade in high-quality agricultural products, etc.

Trade development and agricultural productivity change: Evidence from China

AbstractSince China joined the World Trade Organisation (WTO) in 2001, more Chinese agricultural products have been exported to various countries at low tariff rates. However, the impacts of WTO accession on China's agricultural productivity and technical efficiency are ambiguous. The aim of this study is to investigate the impacts of trade on China's agricultural production by analysing productivity changes before and after 2001. To understand the role trade plays in productivity and technical efficiency change, we introduce two trade indices to the multi‐input multi‐output distance function and technical inefficiency model to examine the export and import effects on technical efficiency and total factor productivity (TFP) change. Our findings indicate that the average growth rate of TFP is 5.8% per annum before joining the WTO, and it increases slightly with an annual rate of 8.5% after joining the WTO. Additionally, with the development of trade liberalisation, the traditional advantages (e.g., technology innovation, spillovers, FDI) of exports on agricultural productivity are being replaced by the competitive effect of imports.

Research on Chinese Agricultural Products Based on Supply and Demand

Based on the data of agricultural prices and economic development in China in recent years as well as the previous research of economists, this paper will analyze the rules of fluctuation in agricultural prices in China and its possible influencing factors from the perspective of supply and demand. Due to the rapid development of productivity and the constant change of demand structure, the price of agricultural products in China has been increasing rapidly. However, in this process, the supply and demand imbalance also occurs from time to time, resulting in a large price fluctuation. This paper will also analyze some of China's agricultural policies and their positive effects. Macro policies can stabilize agricultural prices to some extent, but their effect is limited. Therefore, appropriate macro-control is needed to fundamentally guide production and trade process from both sides of supply and demand, so as to stabilize the price of agricultural products and market expectations.

Lagged response of summer precipitation to solar activity in the mid-lower reaches of the Yangtze River

In the context of more frequent extreme precipitation worldwide, the Sun’s influence on global or regional rainfall patterns has attracted much attention. Due to its vital importance to Chinese industrial and agricultural production, the precipitation property in the mid-lower reaches of the Yangtze River (MLRYR) remains a hot issue. Although previous works have implied the plausible influence of solar activity on precipitation in the mid-lower reaches of the Yangtze River, the time-lagged effect is still an open question. In this paper, we adopt the China-Z index (CZI) to represent the original precipitation data, which is proposed to monitor moisture conditions over China and is more sensitive to solar activity. We explore the lagged correlations between summer precipitation in the mid-lower reaches of the Yangtze River and solar activity. The China-Z index in June-July is negatively correlated with the sunspot number in July of the preceding year, giving a time lag of 11 months. Based on the composite analysis, we suggest that solar activity possibly modulates the precipitation by influencing the local moisture and its vertical movement through the sea-land thermal contrast and the associated East Asian summer monsoon on a much larger scale.

Glutathione-modified graphene quantum dots as fluorescent probes for detecting organophosphorus pesticide residues in Radix Angelica Sinensis

A novel fluorescent sensor was developed in this study based on glutathione-functionalized graphene quantum dots (GQDs@GSH) to detect organophosphorus pesticide residues in Radix Angelica Sinensis. GQDs@GSH was synthesized by a one-step pyrolysis method with a fluorescence quantum yield as high as 33.9% and its structure was characterized by transmission electron microscopy and X-ray photoelectron spectroscopy. GQDs@GSH exhibited excellent fluorescence property showing strong blue fluorescence under UV irradiation. The fluorescence of GQDs@GSH could be quenched by Fe3+ by electron transfer and the quenched fluorescence could be recovered due to the strong chelating and reducing ability of phytic acid (PA). Under the catalyzation of acetylcholinesterase (AChE) and choline oxidase (ChOx), acetylcholine (ACh) could be decomposed to H2O2, which could further oxidize Fe2+ to Fe3+ thus quenching the fluorescence of GQDs@GSH once again. Coumaphos, a kind of organophosphorus pesticide, could inhibit AChE activity, thus making the quenched fluorescence turn on again. Several parameters influencing the fluorescence response such as Fe3+, PA, ACh and coumaphos concentration, pH value and reaction time were optimized. Based on such a fluorescence “off-on-off-on” ngkmechanism, GQDs@GSH was successfully applied to the detection of coumaphos in Radix Angelica Sinensis. A good linear relationship between the fluorescence intensity and coumaphos concentration was obtained in the range of 0.1–10.0 μmol·L−1. By a standard addition method, the recoveries were measured to be 101.44–117.90% with RSDs lower than 1.98%. The biosensor system is simple, sensitive and accurate. It has a good application prospect in the detection of organophosphorus pesticide residues in traditional Chinese medicine and agricultural products, and also expanded the application scope for glutathione as a highly selective biological molecule.

Reducing agricultural nitrogen use: A price endogenous partial equilibrium analysis in the Yangtze River Basin, China

The overuse of nitrogen fertilizers in agricultural production in China, resulting in negative impacts on the environment, has become a serious issue. Thus, reducing agricultural nitrogen use has become one of the top priorities for achieving the sustainable development goals of the Chinese agricultural sector. Searching for effective approaches to reduce nitrogen use is essential to agricultural and environmental sustainability. In this study, we selected the Yangtze River Basin as the research area, owing to its critical role in Chinese agricultural production, and established a price endogenous partial equilibrium model to simulate the effect of nitrogen use reduction from nitrogen use optimization (NUO) and nitrogen use efficiency improvement (NUE+). Based on agricultural datasets in 2019, simulation results revealed that 1) NUO helped reduce nitrogen use and nitrogen loss by 6.99% and 7.50%, respectively; if changes in the acreage are considered, then the reduction effect will be less significant; 2) nitrogen use decreased continuously with NUE+, and the reduction rate was 7.85%, 15.38%, 22.65%, and 28.02% under the NUE+10%, NUE+20%, NUE+30%, and NUE+40% scenarios, respectively, and nitrogen loss was highly sensitive; and 3) the crop heterogeneity indicated that cereals are regarded as nitrogen-overuse crops and more sensitive to nitrogen use reduction under the NUE+ scenarios than oil crops. Accordingly, in this study, we suggested that practical NUO and NUE+ policies and incentives are necessary, and flexible adjustment strategies for crop-planting structures, such as enlarging the acreage for cereals, may be useful in reducing nitrogen use in the Yangtze River Basin.

Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis

PurposeAgricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.Design/methodology/approachBased on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.FindingsThe empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.Originality/valueThis paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.

On-line marketing of fresh fruits by New Farmers: Use of a WeChat platform in China

The internet of things has revolutionized Chinese agricultural production and marketing sectors, creating “New Farmers.” WeChat is one of the most popular social media platforms in China, and WeChat marketing of agricultural products has become a widespread phenomenon. To respond to the quality and safety concerns of consumers on the social media marketing platform, New Farmers should pay more attention and maintain the quality and safety of the agricultural products they sell on WeChat. Our objective is to understand the determinants influencing the New Farmers' quality and safety knowledge of the fresh fruits they sell on WeChat. For this purpose, we collected data in 2018 from a sample of 504 purely sales-oriented New Farmers in China. We analyzed the influence of WeChat marketing, food safety awareness, personal characteristics, and external factors on purely sales-oriented New Farmers' quality and safety knowledge related to the fresh fruits they sell on WeChat based on the Stimulus-Organism-Response framework. Results indicated that purely sales oriented New Farmers' ranking of their understanding of the quality and safety status (pesticides, fertilizers, and quality and safety certifications) of the fruits depend on factors such as consumers' consultation frequency about quality and safety information to New Farmers, consumers' word of mouth, sales status of fruits, WeChat regulation, quality and safety awareness of New Farmers, gender, training received, government regulations, and consumers attention to food safety. The findings should be helpful to strengthen the quality and safety management, training, and supervision of New Farmers.

Trade Facilitation and China’s Agricultural Products Exports: Empirical Evidence from Japan and Korea

Purpose – This paper analyzes the relationship between trade facilitation and agricultural products exports and estimates the effects of trade facilitation in importing countries on Chinese agricultural products exports, which is of great significance for promoting agricultural trade between China,Japan and Korea and the governments of the three countries to formulate targeted trade facilitation policies. Design/methodology – Based on Wilson (2003) theoretical framework, this paper sets up its own trade facilitation level measurement system by involving four primary indicators and fifteen secondary indicators to evaluate the trade facilitation levels of Japan and Korea from 2011 to 2018 respectively. The paper selected the data on China s agricultural exports at the HS4 level from 2011-2018 and used a fixed-effects model to estimate the effect of changes in trade facilitation levels in trading partner countries on China s agricultural trade. Findings – Our main findings can be summarized as follows: the level of trade facilitation in importing countries has a significantly positive effect on China’s agricultural exports. The higher the level of trade facilitation in trading partner countries, the more Chinese agricultural exports trade, i.e. for every 1 percentage point increase in the level of trade facilitation, the volume of exports will increase by 2.299%.The sub-sample test shows that China s main agricultural products exported to Japan and Korea, such as aquatic products, vegetables, fruits and other perishable fresh products, are particularly significantly affected by the level of trade facilitation. Originality/value – First, from the innovation of the research perspective, which is different from the analysis of the existing paper on the overall trade facilitation of all traded commodities. This article is based on the close trade relations between China, Japan and Korea, and the particularity of agricultural products, from the perspective of China’s agricultural exports to Japan and Korea, discuss the impact of importing countries—Japan and Korea’s trade facilitation levels on China’s agricultural exports;Secondly, in this paper, the hierarchical data of the HS4 quartile is used to avoid the information loss of the industry, and to analyse the impact of the importing country’s trade facilitation level on the export of different types of agricultural products more scientifically.

How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs

Chinese agricultural production has grown rapidly over the past two decades. However, expanding large-scale production faces a sharp conflict with the supply of water resources. Meanwhile, to adapt to changes in consumer preferences and protect the environment, both the livestock and crop industries had to input more to achieve a high output of meat and grains and low graywater footprint emission. Using provincial panel data of China from 2008 to 2019, this study adopted a slacked-based model to measure the country's agricultural water use efficiency (AWUE) that considered graywater from crop and livestock production as an unexpected output. Based on the concept of sustainable development, using the graywater footprint as an undesired output included environmental pollution caused by agricultural production as part of the cost and could more accurately measure the water efficiency of current production. We also applied the Tobit model to identify the main factors influencing AWUE. Our results indicated the following. (1) Wealthy provinces produced more graywater than did poor provinces. If the province's gross domestic product climbed, the volume of graywater of livestock would surpass graywater of crops by a greater amount. (2) The AWUE in Southwest and South China fitted a "U" trend, while the remaining five regions showed an inverted U-shaped tendency. (3) To improve the AWUE, it is necessary to increase the crop area of economic crops and expand the scale of the livestock industry; compared with investment in irrigation infrastructure, investment in research and experimental development produces higher marginal benefits in enhancing the AWUE. (4) Environmental regulations inhibit the improvement of the AWUE, while irrigation infrastructure significantly improves the AWUE.